Triple

T5638697
Position Surface form Disambiguated ID Type / Status
Subject Ferdowsi University of Mashhad E124210 entity
Predicate hasAlternativeName P39 FINISHED
Object FUM
FUM is an abbreviation for Ferdowsi University of Mashhad, a major public research university in Mashhad, Iran.
 E535131 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: FUM | Statement: [Ferdowsi University of Mashhad, hasAlternativeName, FUM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FUM
Context triple: [Ferdowsi University of Mashhad, hasAlternativeName, FUM]
  • A. FUK
    FUK is the IATA airport code for Fukuoka Airport, a major international and domestic air hub serving the city of Fukuoka in Japan.
  • B. Fu
    Fu is a Chinese surname borne by various notable historical and contemporary figures across politics, arts, and other fields.
  • C. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • D. FAM
    FAM is the acronym commonly used to refer to the Mexican Air Force, the aerial warfare branch of Mexico’s armed forces.
  • E. FAMO
    FAMO was a German vehicle manufacturer best known for producing military half-tracks and armored vehicles for the Wehrmacht during World War II.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: FUM
Triple: [Ferdowsi University of Mashhad, hasAlternativeName, FUM]
Generated description
FUM is an abbreviation for Ferdowsi University of Mashhad, a major public research university in Mashhad, Iran.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FUM
Target entity description: FUM is an abbreviation for Ferdowsi University of Mashhad, a major public research university in Mashhad, Iran.
  • A. FUK
    FUK is the IATA airport code for Fukuoka Airport, a major international and domestic air hub serving the city of Fukuoka in Japan.
  • B. Fu
    Fu is a Chinese surname borne by various notable historical and contemporary figures across politics, arts, and other fields.
  • C. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • D. FAM
    FAM is the acronym commonly used to refer to the Mexican Air Force, the aerial warfare branch of Mexico’s armed forces.
  • E. FAMO
    FAMO was a German vehicle manufacturer best known for producing military half-tracks and armored vehicles for the Wehrmacht during World War II.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c00824643c81909ffdb888a2d35189 completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c02283bb248190b29ac6255c78c5ec completed March 22, 2026, 5:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d7456408190962c476f2848927e completed March 22, 2026, 8:13 p.m.
NEDg Description generation batch_69c04edaa7408190811007d27549a35d completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04ff40ce88190a9aa8886c22386e1 completed March 22, 2026, 8:24 p.m.
Created at: March 22, 2026, 3:41 p.m.